The Correlation Study between Mental Health Status and Social Support in Patients after PCI

2021 ◽  
Vol 10 (02) ◽  
pp. 71-77
Author(s):  
静雅 张
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Health Status ◽  
Correlation Study ◽  
Mental Health Status

Social support and mental health status of internal migrants in Beijing

2020 ◽  
Vol 48 (4) ◽  
pp. 1-16
Author(s):  
Ying Zhou ◽  
Jianhua Wang
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Health Status ◽  
Marital Status ◽  
Rating Scale ◽  
Mental Health Disorder ◽  
Mental Health Status ◽  
Self Report ◽  
Monthly Income ◽  
Internal Migrants

We investigated the mental health status of 320 internal migrants in Beijing according to gender, age, marital status, and monthly income, and examined the relationship between their mental health status and social support mechanisms. Participants completed the self-report Symptom Checklist-90-R and Social Support Rating Scale. Results showed that their mental health was significantly worse than the Chinese adult norm as assessed in 2017. Participants' social support varied according to age, marital status, and monthly income. Female participants younger than 30 years old with a monthly income lower than 3,000 yuan comprised the group with the most mental health disorder symptoms. They thus required greater personal attention to their health. The results suggested that social support can predict mental health among internal migrants. Directions for further research are discussed.

scholarly journals Green spaces and General Health: Roles of mental health status, social support, and physical activity

2016 ◽  
Vol 91 ◽  
pp. 161-167 ◽  
Author(s):  
Payam Dadvand ◽  
Xavier Bartoll ◽  
Xavier Basagaña ◽  
Albert Dalmau-Bueno ◽  
David Martinez ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Social Support ◽  
Health Status ◽  
General Health ◽  
Mental Health Status ◽  
Green Spaces

scholarly journals Primary group size, social support, gender and future mental health status in a prospective study of people living in private households throughout Great Britain

2005 ◽  
Vol 35 (5) ◽  
pp. 705-714 ◽  
Author(s):  
TRAOLACH S. BRUGHA ◽  
SCOTT WEICH ◽  
NICOLA SINGLETON ◽  
GLYN LEWIS ◽  
PAUL E. BEBBINGTON ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Great Britain ◽  
Health Status ◽  
Prospective Study ◽  
Group Size ◽  
Mental Health Status ◽  
Primary Group ◽  
Private Households ◽  
A Prospective Study

scholarly journals Religiosity and decreased risk of substance use disorders: is the effect mediated by social support or mental health status?

2009 ◽  
Vol 45 (8) ◽  
pp. 827-836 ◽  
Author(s):  
Mark J. Edlund ◽  
Katherine M. Harris ◽  
Harold G. Koenig ◽  
Xiaotong Han ◽  
Greer Sullivan ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Substance Use ◽  
Health Status ◽  
Substance Use Disorders ◽  
Mental Health Status

scholarly journals Association Between Perceived Social Support and Mental Health Status Among Older Adults

2021 ◽  
Vol 31 (3) ◽  
pp. 147-154
Author(s):  
Shima Nazari ◽  
◽  
Pouya Farokhnezhad Afshar ◽  
Leila Sadegh Moghdada ◽  
Alireza Namazi Shabestari ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Older Adults ◽  
Health Status ◽  
Perceived Social Support ◽  
Pearson Correlation ◽  
General Health Questionnaire ◽  
Demographic Variables ◽  
Mental Health Status ◽  
Community Dwelling

Introduction: The elderly need social support to reduce their physical and mental disabilities. Perceived social support is one of the effective factors in the lifestyle of older adults. Objective: This study aimed to determine the association between perceived social support and mental health status among older adults. Materials and Methods: This research is a cross-sectional analytical study. The study data were collected using a perceived social support (PSS) scale and general health questionnaire-12 (GHQ-12). A total of 302 eligible older adults were selected through a random sampling method from primary health centers in the north, south, east, west, and center of Tehran. The inclusion criteria were those community-dwelling older adults aged ≥60 years and with normal cognitive abilities. The collected data were analyzed using t test, ANOVA, the Pearson correlation, and multiple linear regressions. Results: The mean ±SD age of older adults was 70.01 ±6.29 years. Their mean ±SD scores of the PSS and GHQ-12 were 130.95 ±16.05 and 7.29 ±5.55, respectively. The results showed no significant relationship between demographic variables and PSS. There was a significant inverse correlation between the PSS score and the GHQ-12 score (P= 0.01, r= -0.878). The PSS explained 0.66 of the total variances of “positively phrased items” of GHQ-12 (adjusted R2= 0.66) and 0.76 of the total variances of “negatively phrased items” of GHQ-12 (adjusted R2= 0.76). Conclusion: Our findings showed that the PSS and mental health are at a desirable level in this study, and the PSS is not affected by demographic variables. The PSS is a promoting factor for mental health status among older adults.

Differential impacts of social support on mental health: A comparison study of Chinese rural-to-urban migrant adolescents and their urban counterparts in Beijing, China

2016 ◽  
Vol 63 (1) ◽  
pp. 48-56 ◽  
Author(s):  
Xiao Yu Zhuang ◽  
Daniel Fu Keung Wong
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Health Status ◽  
Mental Health Status ◽  
Migrant Children ◽  
Comparative Approach ◽  
Internal Migrant ◽  
Urban Migrant ◽  
Migrant Adolescents ◽  
Beijing China

Background: The number of internal migrant children in China has reached 35.8 million by the end of 2010. Previous studies revealed inconsistent findings regarding the mental health status of rural-to-urban migrant adolescents, as well as the impact of peer, teacher and parental support on the mental health of Chinese adolescent migrants. Aims: Using a comparative approach, this study attempted to compare the mental health status between migrant and urban-born adolescents and to clarify the specific roles of different sources of social support in the mental health of migrant and urban adolescents. Method: A cross-sectional survey using a cluster convenience sampling strategy was performed in Beijing, China. A structured questionnaire was filled out by 368 rural-to-urban migrant adolescents and 325 urban-born adolescents. Results: A significant difference was found only for positive affect (PA) but not for negative affect (NA) between the two groups, favouring the urban-born adolescents. Social support from all the three sources were all predictive of PA among rural-to-urban migrant adolescents, while only peer support contributed to PA among urban-born adolescents. Unexpectedly, teachers’ support contributed to an increase in NA among urban-born adolescents. Conclusion: The findings contribute to understanding of the mental health status of migrant adolescents in China and the differential impact of the various sources of social support on migrant and urban-born adolescents. Also the findings may inform the development of mental health services and programmes that can potentially benefit a large number of internal migrant adolescents in China.

scholarly journals Association Between Social Support and Mental Health Status Among College Students: A Nationwide Survey

2020 ◽  
Author(s):  
Chao Wang ◽  
Shijiao Yan ◽  
Yong Gan ◽  
Heng Jiang ◽  
Yingying Guo ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Support ◽  
College Students ◽  
Health Status ◽  
Mental Health Problems ◽  
General Health Questionnaire ◽  
Nationwide Survey ◽  
Small Sample ◽  
Mental Health Status ◽  
Cluster Sampling

Abstract BackgroundSocial support could improve college students’ mental health status. However, mental health varies across different geographic areas, and most of previous studies only included small sample sizes, thus the nationwide survey are warranted. This study sought to estimate the association between social support quality (SSQ) and mental health among Chinese college students using data yielding from a nationwide survey.MethodsA cross-sectional study with a web-based questionnaire survey was conducted in Wuhan, China, from October 2017 to February 2018. A total of 11093 college students were recruited from 18 colleges or universities through multi-stage random cluster sampling method. The Multidimensional Scale of Perceived Social Support scale and 12-items General Health Questionnaire were used to estimate students’ SSQ and mental health status, respectively. Logistic regression analysis was used to identify the association between SSQ and the mental health disorder in college students.ResultsA total of 10,676 (96.24%) college students were included in this study. Of them, 21.4% were identified as having a mental disorder. Students being a female, aged 18-22 years old, whose mother held a college degree and above, and drinking alcohol had more risks of being mental health problems (P <0.05). However, having general or higher family economic levels, working and resting regularly, and sleeping ≥ 7 hours could be preventive factors for mental health problem (P <0.05). Especially, with the improvement of SSQ, there was a decreasing trend in the risk of being mental disorder.ConclusionMental health disorder is an important public health challenge among college students in China. Improving SSQ could be the practical and valuable method to prevent college students’ mental problem.

scholarly journals Social capital and mental health status among the residents of a neighborhood in Istanbul, Turkey

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
I Kayi ◽  
N Ozgulnar
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Social Capital ◽  
Health Status ◽  
National Level ◽  
Multivariable Analysis ◽  
Socioeconomic Inequalities ◽  
Mental Health Status ◽  
Process Data ◽  
Neighborhood Level

Abstract There has been an increasing policy making and research for social determinants of health and inequalities in health. In such a framework social capital functions as an intermediate factor at the and it is increasingly investigated in health research. Social capital is defined as a resource that individuals may access through membership in a structure of network with certain values and through sharing these resources reciprocally. The objective of this study is to investigate the association between social capital and mental health status among residents of a small neighborhood on Istanbul. This is a cross-sectional study that has been carried out in Istanbul with individuals of age 18-65 years old. The study sample included 629 individuals selected by a stratified and systematic sampling process. Data was collected via a self-reported questionnaire including items for sociodemographic information, social capital and General Health Questionnaire. We applied Mann-Whitney U and Kruskal-Wallis Tests subsequent to the normality tests of the distribution, and Chi Square Test for the categorical data. Linear and logistic regression models were used for multivariable analysis. Men constitute 51.7% of the people. Mean age was 40.1 (sd: 12.7). There was a significant association between social capital and being a woman and deprived neighborhood. In addition higher level of mental distress was significantly associated with lower level of neighborhood trust, social support and the higher level of perception that neighbors would take advantage of the participants when they got the chance. However national level trust and sense of people taking advantage of their neighbors were not significantly associated with mental health status. Social capital measured via trust and social support at the neighborhood level has been a determinant of mental health status. Efforts for decreasing socioeconomic inequalities should also include efforts to promote social capital. Key messages Social capital measured via trust and social support at the neighborhood level has been a determinant of mental health status. Efforts for decreasing socioeconomic inequalities should also include efforts to promote social capital.

scholarly journals Effect of socio demographic and personal factors on infertility and its association with mental health and social support in North Indian population

2018 ◽  
Vol 7 (12) ◽  
pp. 5088
Author(s):  
Neetu Singh ◽  
Jyotsna Singh
Keyword(s):  
Mental Health ◽  
Social Support ◽  
Health Status ◽  
Perceived Social Support ◽  
General Health Questionnaire ◽  
Mental Health Status ◽  
Caffeine Intake ◽  
Control Group ◽  
Personal Factors ◽  
Cross Sectional

Background: Motherhood is a bliss in women’s lives and thus infertility is considered as a social stigma. In present study, we measure the effect of socio-demographic and personal factors on infertility as well as the status of social support and mental health in infertile women.Methods: This was a cross-sectional study comprising 90 infertile women and 90 women in the control group, conducted at Ram Prakash Gupta Memorial Mother and Child State Referral Centre of RMLIMS, Lucknow, India. The questionnaires used were Socio-demographic and personal characteristics, General Health Questionnaire (GHQ-12) to assess mental health, Perceived Social Support Questionnaire (PSSQ). To determine the relationship between socio-demographic characteristics, personal characters, mental health, and social support with infertility, Chi-square test was used.Results: Age, education, and occupation had statistically significant (p<0.05) relation with infertility, high BMI, and caffeine intake also had the significant adverse effect on fertility outcomes (p<0.05). Infertility patients had poor mental health status (higher mean GHQ-12 score 20.8±4.2) and poor perceived social support (lower mean PSSQ score 29.7±7.0).Conclusions: In present study, the socio-demographic factors, lifestyle factors, social support and mental health status is associated with fertility outcomes. Their modifications have the potential to improve reproductive performances. A structured programme of education, social support, and counselling by specialist health professionals should be formulated to improve the quality of life as well as fertility outcomes in infertile patients.

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